{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# coding:utf-8\n",
    "import csv\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "from datetime import datetime\n",
    "import matplotlib.ticker as ticker\n",
    "\n",
    "D='date'\n",
    "I='income'\n",
    "E='expenditure'\n",
    "B='balance'\n",
    "\n",
    "with open('accounts.csv', newline='') as csvfile:\n",
    "    dictReader = csv.DictReader(csvfile, delimiter=',', quotechar='|')\n",
    "    dates=[]\n",
    "    income=[]\n",
    "    expenditure=[]\n",
    "    balance=[]\n",
    "    for index,row in enumerate(dictReader):\n",
    "        dates.append(row[D])\n",
    "        income.append(0 if row[I]==\"\" else int(row[I]))\n",
    "        expenditure.append(0 if row[E]==\"\" else int(row[E],))   \n",
    "        if(income[index]==0 and expenditure[index]==0):\n",
    "            balance.append(0 if row[B]==\"\" else int(row[B]))\n",
    "        else:\n",
    "            balance.append((0 if index==0 else balance[index-1]) + income[index] - expenditure[index])\n",
    "        \n",
    "\n",
    "index=[i for i in range(len(dates))]\n",
    "xs = [datetime.strptime(d, '%Y-%m-%d').date() for d in dates]\n",
    "ys = range(len(xs))\n",
    "plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))\n",
    "plt.gca().xaxis.set_major_locator(mdates.DayLocator())\n",
    "plt.gca().xaxis.set_major_locator(ticker.MultipleLocator(int(len(dates) / 10) +2))\n",
    "# plt.gca().set_ylim((450,600))\n",
    "\n",
    "\n",
    "plt.title(\"GT Recording\") \n",
    "\n",
    "font2 = {'family': 'DejaVu Sans',\n",
    "         'weight': 'normal',\n",
    "         'size': 2,\n",
    "         }\n",
    "plt.xlabel(\"Date\") \n",
    "\n",
    "plt.ylabel(\"GT in total\") \n",
    "plt.plot(xs, balance, \"-.ob\")\n",
    "plt.gcf().autofmt_xdate() \n",
    "\n",
    "#标记数值\n",
    "for x, y in zip(xs, balance):\n",
    "    plt.text(x, y+12, y, ha='center', va='bottom', fontsize=8)\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/wenbin/pyvenv/ml/bin/python\n"
     ]
    }
   ],
   "source": [
    "!which python"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  },
  "toc-autonumbering": false,
  "toc-showcode": false
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
